Add DTMFAggregator
This commit is contained in:
@@ -24,6 +24,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Added `OutputDTMFUrgentFrame` to send a DTMF keypress quickly. The previous
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`OutputDTMFFrame` queues the keypress with the rest of data frames.
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- Added `DTMFAggregator`, which aggregates keypad presses into
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`TranscriptionFrame`s. Aggregation occurs after a timeout, termination key
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press, or user interruption. You can specify the prefix of the
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`TranscriptionFrame`.
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- Added new functions `DailyTransport.start_transcription()` and
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`DailyTransport.stop_transcription()` to be able to start and stop Daily
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transcription dynamically (maybe with different settings).
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@@ -45,8 +50,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [0.0.68] - 2025-05-28
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### Added
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- Added `GoogleHttpTTSService` which uses Google's HTTP TTS API.
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- Added `TavusTransport`, a new transport implementation compatible with any
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128
src/pipecat/processors/aggregators/dtmf_aggregator.py
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128
src/pipecat/processors/aggregators/dtmf_aggregator.py
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@@ -0,0 +1,128 @@
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#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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from typing import Optional
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from pipecat.frames.frames import (
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CancelFrame,
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EndFrame,
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Frame,
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InputDTMFFrame,
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KeypadEntry,
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StartInterruptionFrame,
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TranscriptionFrame,
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)
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.utils.time import time_now_iso8601
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class DTMFAggregator(FrameProcessor):
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"""Aggregates DTMF frames into meaningful sequences for LLM processing.
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The aggregator accumulates digits from InputDTMFFrame instances and flushes
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when:
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- Timeout occurs (configurable idle period)
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- Termination digit is received (default: '#')
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- Interruption occurs
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Emits TranscriptionFrame for compatibility with existing LLM context aggregators.
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Args:
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timeout: Idle timeout in seconds before flushing
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termination_digit: Digit that triggers immediate flush
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prefix: Prefix added to DTMF sequence in transcription
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"""
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def __init__(
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self,
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timeout: float = 2.0,
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termination_digit: KeypadEntry = KeypadEntry.POUND,
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prefix: str = "DTMF: ",
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**kwargs,
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):
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super().__init__(**kwargs)
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self._aggregation = ""
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self._idle_timeout = timeout
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self._termination_digit = termination_digit
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self._prefix = prefix
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self._digit_event = asyncio.Event()
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self._aggregation_task = None
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async def process_frame(self, frame: Frame, direction: FrameDirection) -> None:
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await super().process_frame(frame, direction)
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if isinstance(frame, InputDTMFFrame):
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await self._handle_dtmf_frame(frame, direction)
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elif isinstance(frame, StartInterruptionFrame):
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# Flush on interruption
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if self._aggregation:
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await self._flush_aggregation(direction)
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elif isinstance(frame, (EndFrame, CancelFrame)):
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# Flush any pending aggregation
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if self._aggregation:
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await self._flush_aggregation(direction)
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await self._stop_aggregation_task()
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# Push frame
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await self.push_frame(frame, direction)
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async def _handle_dtmf_frame(self, frame: InputDTMFFrame, direction: FrameDirection):
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# Start aggregation task if not running
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if self._aggregation_task is None:
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self._aggregation_task = self.create_task(self._aggregation_task_handler(direction))
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# Add digit to aggregation
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digit_value = frame.button.value
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self._aggregation += digit_value
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# Check for immediate flush conditions
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if frame.button == self._termination_digit:
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await self._flush_aggregation(direction)
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else:
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# Signal new digit received
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self._digit_event.set()
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async def _aggregation_task_handler(self, direction: FrameDirection):
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"""Background task that handles timeout-based flushing."""
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while True:
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try:
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await asyncio.wait_for(self._digit_event.wait(), timeout=self._idle_timeout)
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self._digit_event.clear()
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except asyncio.TimeoutError:
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if self._aggregation:
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await self._flush_aggregation(direction)
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async def _flush_aggregation(self, direction: FrameDirection):
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"""Flush the current aggregation as a TranscriptionFrame."""
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if not self._aggregation:
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return
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sequence = self._aggregation
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# Create transcription with prefix for LLM context
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transcription_text = f"{self._prefix}{sequence}"
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# Create and push transcription frame
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transcription_frame = TranscriptionFrame(
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text=transcription_text, user_id="", timestamp=time_now_iso8601()
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)
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await self.push_frame(transcription_frame, direction)
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# Reset aggregation
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self._aggregation = ""
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async def _stop_aggregation_task(self):
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if self._aggregation_task:
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await self.cancel_task(self._aggregation_task)
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self._aggregation_task = None
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async def cleanup(self) -> None:
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await super().cleanup()
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await self._stop_aggregation_task()
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